Job
Description
As a Data Scientist at Barclays, you will embark on a transformative journey and play a pivotal role in shaping the future. Your responsibility will involve extracting valuable insights from the bank's data reserves to inform strategic decision-making and safeguard the business and customers from financial crime risks. You will leverage your expertise to contribute to the mission of the organization and benefit from competitive benefits and opportunities for career advancement in the banking industry. Key Responsibilities: - Extract valuable insights from the bank's data reserves using Python and SQL. - Utilize Data Visualization tools like Power BI or Tableau for effective representation of insights. - Demonstrate an analytical mind and business acumen in interpreting data. - Clean and transform data efficiently for analysis purposes. - Apply intermediate experience in Machine Learning to enhance data analysis. Qualifications Required: - Proficiency in Python and SQL. - Experience with Data Visualization tools like Power BI or Tableau. - Strong analytical skills and business acumen. - Expertise in data cleaning and transformation. - Intermediate knowledge of Machine Learning techniques. The purpose of the role is to use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves. This involves informing strategic decision-making, improving operational efficiency, and driving innovation across the organization. In this position, your accountabilities will include: - Identifying, collecting, and extracting data from various sources. - Cleaning, wrangling, and transforming data to ensure quality and suitability for analysis. - Developing and maintaining data pipelines for automated data acquisition and processing. - Designing and conducting statistical and machine learning models for data analysis. - Implementing predictive models to forecast future outcomes and identify risks and opportunities. - Collaborating with business stakeholders to add value through Data Science. As an Assistant Vice President, your expectations include advising and influencing decision-making, contributing to policy development, and ensuring operational effectiveness. You will lead a team, set objectives, coach employees, and deliver work that impacts the business function. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship. Additionally, they should exhibit the Barclays Mindset to Empower, Challenge, and Drive in their behavior. As a Data Scientist at Barclays, you will embark on a transformative journey and play a pivotal role in shaping the future. Your responsibility will involve extracting valuable insights from the bank's data reserves to inform strategic decision-making and safeguard the business and customers from financial crime risks. You will leverage your expertise to contribute to the mission of the organization and benefit from competitive benefits and opportunities for career advancement in the banking industry. Key Responsibilities: - Extract valuable insights from the bank's data reserves using Python and SQL. - Utilize Data Visualization tools like Power BI or Tableau for effective representation of insights. - Demonstrate an analytical mind and business acumen in interpreting data. - Clean and transform data efficiently for analysis purposes. - Apply intermediate experience in Machine Learning to enhance data analysis. Qualifications Required: - Proficiency in Python and SQL. - Experience with Data Visualization tools like Power BI or Tableau. - Strong analytical skills and business acumen. - Expertise in data cleaning and transformation. - Intermediate knowledge of Machine Learning techniques. The purpose of the role is to use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves. This involves informing strategic decision-making, improving operational efficiency, and driving innovation across the organization. In this position, your accountabilities will include: - Identifying, collecting, and extracting data from various sources. - Cleaning, wrangling, and transforming data to ensure quality and suitability for analysis. - Developing and maintaining data pipelines for automated data acquisition and processing. - Designing and conducting statistical and machine learning models for data analysis. - Implementing predictive models to forecast future outcomes and identify risks and opportunities. - Collaborating with business stakeholders to add value through Data Science. As an Assistant Vice President, your expectations include advising and influencing decision-making, contributing to policy development, and ensuring operational effectiveness. You will lead a team, set objectives, coach employees, and deliver work that impacts the business function. All colleagues are expected to demonstrate the Barclays Values of
